Comparative Analysis of Transportation Network Design Problem under Stochastic Capacity
planning - network design, operations - reliability
urban traffic, transportation network design, link capacity variation, travel time reliability, particle swarm optimization
The method to accurately simulate users travel behavior in the network design problem (NDP) is one of the most crucial problems. Most researches in the network equilibrium based approach to model NDP ignore the unreliability aspect of travel time. The uncertain events result in the spatial and temporal variability of network travel times, which directly contributes to the crucial decision of NDP. Specifically, the mean travel time (MTT), the travel time budget (TTB), and the – reliable mean-excess travel time (METT) are employed in the transportation network design problem under uncertain environment due to stochastic link capacity. Numerical results are presented to examine how these models affects decisions under the condition of travel time variability. The comparative analyses show that the performance of DRUE and METTUE is better than DUE which is employed in network design problem under variation degrees because of considering travel time variability.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Jiang, Y., Sun, H-j. & Wu, J-j. (2014). Comparative Analysis of Transportation Network Design Problem under Stochastic Capacity. Journal of Transportation Systems Engineering and Information Technology, Vol. 14, (3), pp. 85–90.